Table Of Content
From my experience, the best way to upscale 1080p to 4K is to use AI-powered video upscaling tools, because they analyze frames and reconstruct details instead of simply enlarging pixels.
Here's how I usually decide:
Below, I'll walk you through exactly how to do it with each method.
Upscaling 1080p to 4K is no longer just about stretching pixels. With modern AI-based tools and advanced scaling algorithms, you can now reconstruct missing details, improve sharpness, and export true 3840×2160 video suitable for YouTube, TVs, and professional workflows.
In this guide, you'll learn how to upscale 1080p to 4K step by step, using both AI-powered upscalers and traditional video editors. Each method focuses on how to do it, what settings to use, and when to choose each approach—so you can get the best possible results from your footage.
Upscaling 1080p to 4K means converting video resolution from 1920×1080 to 3840×2160. This increases the total pixel count by 4×, but the original footage does not contain that extra detail.
There are two main approaches:
Because of this, AI upscaling generally produces sharper, more natural-looking 4K results, especially for faces, text, and motion-heavy footage.
UniFab Video Upscaler AI is one of the simplest ways to upscale 1080p to 4K using AI. It's ideal if you want clear steps, minimal setup, and consistent results, especially for multiple videos.
Step-by-Step: How to Upscale 1080p to 4K with UniFab
UniFab
UniFab Video Upscaler AI
Why UniFab Works Well for This Task
Best for: Users who want a reliable, repeatable 1080p→4K workflow without technical complexity.
Topaz Video AI is frequently cited for high-quality AI upscaling due to its model-based approach.
Recommended Settings
Steps
Note: Topaz offers deep control but requires more time for previews and tuning.
DaVinci Resolve includes Super Scale, a non-AI but advanced scaling feature.
How to Use Super Scale for 4K
Best for: Editors already working inside Resolve who want a free solution.
Premiere Pro is convenient, but I treat its upscaling as a basic workflow, not a quality upgrade.
My Usual Steps
Tip: Premiere does not add new detail—results depend heavily on post-processing.
When I need a free or automated solution, I use FFmpeg:
ffmpeg -i input.mp4 -vf scale=3840:2160:flags=lanczos -c:v libx264 -crf 13 -preset slow output.mp4| Method | Type | Ease of Use | Setup Complexity | AI Detail Reconstruction | Batch Processing | Control Level | Speed | Best For |
| UniFab Video Upscaler AI | AI Upscaler | ⭐⭐⭐⭐⭐ Very Easy | Minimal | ✅ Yes | ✅ Yes | Medium | Fast | Users who want a simple, repeatable 1080p→4K workflow with consistent results |
| Topaz Video AI | AI Upscaler | ⭐⭐⭐ Moderate | High (models & previews) | ✅ Yes | ⚠️ Limited | ⭐⭐⭐⭐ Very High | Slower | Advanced users who want deep manual control over AI models |
| DaVinci Resolve (Super Scale) | Traditional Scaling | ⭐⭐⭐ Moderate | Medium (timeline setup) | ❌ No | ❌ No | ⭐⭐⭐ Medium | Medium | Editors already working in Resolve who want a free built-in solution |
| Adobe Premiere Pro | Traditional Scaling | ⭐⭐⭐ Moderate | Medium | ❌ No | ❌ No | ⭐⭐⭐ Medium | Medium | Premiere users needing basic 4K output, relying on post-processing |
| FFmpeg (Lanczos) | Command-line Scaling | ⭐ Low | High (CLI knowledge) | ❌ No | ✅ Yes | ⭐⭐ Low | Fast | Technical users needing a free, automated, scriptable solution |
If your goal is fast, consistent 1080p to 4K upscaling with minimal setup, UniFab is a strong practical choice—especially for creators handling multiple videos.
Learning how to upscale 1080p to 4K is about choosing the right method for your workflow. AI-based tools now make it possible to produce cleaner, sharper 4K results than traditional scaling ever could. If you want a straightforward how-to process that delivers reliable results without technical overhead, UniFab 1080P to 4K Upscaler offers one of the most accessible solutions for turning 1080p videos into high-quality 4K.
Yes, a 1080p video can be upscaled to 4K. I’ve done this many times using both traditional editors and AI-powered video upscalers. The key difference is how the upscaling is done: traditional scaling simply enlarges pixels, while AI upscaling analyzes the footage and attempts to reconstruct missing details. This is why AI-based tools usually produce much better 4K results from 1080p sources.
In my experience, upscaling to 4K is worth it in many scenarios, but not always. It makes the most sense when:
However, upscaling won't magically fix poor-quality footage. If the source video is heavily compressed or blurry, the improvement will be limited—even with AI upscaling.
You can't truly turn a 1080p monitor into a native 4K display, but you can simulate 4K output in a few ways.
From my testing, the most common options are:
These methods improve perceived sharpness, but the physical resolution of a 1080p monitor does not change.
No, 4K is not 200% of 1080p—it’s actually 400% in total pixels. Here's why:
Both the width and height are doubled, which results in four times the total pixel count. This is why upscaling from 1080p to 4K is technically challenging and why AI upscaling can make a noticeable difference.